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1.发明申请公开(公告)号：US20220130495A1
公开(公告)日：2022-04-28
申请号：US17570505
申请日：2022-01-07
Inventor： Shuangli LI , Jingbo ZHOU , Liang HUANG , Haoyi XIONG , Fan WANG , Tong XU , Hui XIONG , Dejing DOU
Abstract: A method for determining correlation between a drug and a target, and an electronic device are provided. The method includes: establishing a spatial molecular graph of a candidate drug and the target, the spatial molecular graph including an atomic node set and an edge set, the atomic node set including atoms in the candidate drug and atoms in the target, the edge set including at least one atom connection edge; inputting a first atom feature of the atomic node set and the spatial molecular graph into a first GAT for prediction, to obtain a second atom feature of the atomic node set; and determining a parameter value of the correlation between the candidate drug and the target in accordance with the second atom feature of the atomic node set.
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公开(公告)号：US20220082397A1
公开(公告)日：2022-03-17
申请号：US17531529
申请日：2021-11-19
Inventor： Weijia ZHANG , Hao LIU , Dejing DOU , Hui XIONG
Abstract: A method for recommending a station for a vehicle, a device, and a storage medium are provided. The method comprises: receiving, by a server, an access request from a vehicle; obtaining, based on the access request, a plurality of observation values from a plurality of stations associated with the vehicle, respectively, each observation value is based on a corresponding pre-trained recommendation model, each observation value includes factors associated with access of the vehicle to the station corresponding to the observation value; determining, an action value for the station based on the observation value and the pre-trained recommendation model for the station, the action value for the station indicates a matching degree between the access request and the station; determining a recommended station among the plurality of stations based on the action values of the plurality of stations; and sending to the vehicle an instruction of driving to the recommended station.
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公开(公告)号：US20210191921A1
公开(公告)日：2021-06-24
申请号：US17021001
申请日：2020-09-15
Inventor： Yanyan LI , Jianguo DUAN , Hui XIONG
IPC: G06F16/23 , G06F16/215
Abstract: The present application discloses a method for data aggregation, the method includes: acquiring original data to be aggregated and dividing the original data into at least one first data set; determining whether each of the at least one first data set has a corresponding historical aggregation record; when there is at least one second data set with a historical aggregation record in the at least one first data set, acquiring a historical aggregation result corresponding to each second data set to obtain at least one first aggregation result; performing aggregation on each third data set without a historical aggregation record to obtain at least one second aggregation result; and determining a third aggregation result of the original data according to the at least one first aggregation result and the at least one second aggregation result, and determining a data tag of the original data according to the third aggregation result.
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4.发明公开公开(公告)号：US20230230038A1
公开(公告)日：2023-07-20
申请号：US17945168
申请日：2022-09-15
Inventor： Ying SUN , Hengshu ZHU , Chuan QIN , Peng WANG , Hui XIONG
IPC: G06Q10/10 , G06F16/906
CPC classification number: G06Q10/1053 , G06F16/906
Abstract: There is provided a method for cross-regional talent flow intention analysis, an electronic device, and a storage medium, which relates to technical fields such as big data processing and data statistics and analysis. A specific implementation solution involves: constructing a talent flow intention network based on search data in a network within a preset period of time; and performing cross-regional talent flow intention analysis based on the talent flow intention network to obtain a talent flow intention analysis result.
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公开(公告)号：US20220082393A1
公开(公告)日：2022-03-17
申请号：US17533441
申请日：2021-11-23
IPC: G01C21/34
Abstract: A travel recommendation method, an electronic device, and a storage medium are provided, which are related to artificial intelligence, and particularly relates to fields of depth learning, map navigation and the like. The specific implementation scheme includes: obtaining a travel recommendation model according to constraint conditions and prediction conditions, wherein the constraint conditions are used for characterizing travel fairness for different types of users travelling at different moments and in different regions, and the prediction conditions are used for characterizing at least two travel modes selected by the different types of users; and obtaining travel recommendation information according to a travel target and the travel recommendation model.
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Patent Agency Ranking
公开(公告)号：US20210192554A1
公开(公告)日：2021-06-24
申请号：US17022269
申请日：2020-09-16
Inventor： Yanyan LI , Jianguo DUAN , Hui XIONG
IPC: G06Q30/02
Abstract: Embodiments of the present application provide a method, an apparatus, a device, and a storage medium for judging permanent area change, and relate to the field of computer technologies. By determining feature information corresponding to at least one candidate user, where any candidate user is a user whose permanent area changes with a probability greater than a first preset probability threshold, and furthermore, by inputting feature information corresponding to the above-mentioned at least one candidate user into a preset classification model, it can be judged whether a target permanent area of the above-mentioned at least one candidate user is changed.
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公开(公告)号：US20230122093A1
公开(公告)日：2023-04-20
申请号：US17992041
申请日：2022-11-22
Inventor： Dazhong SHEN , Chuan QIN , Chao WANG , Zheng DONG , Hengshu ZHU , Hui XIONG
IPC: G06F40/30 , G06F40/279 , G06F40/117 , G06N20/00
Abstract: A method for determining a text topic includes: after a word sequence corresponding to a text to be processed and a number of spaced words in the text to be processed between each two words in the word sequence are determined, a graph structure corresponding to the text to be processed may be determined based on the number of spaced words between each two words in the text to be processed, a topic distribution corresponding to the text may be determined based on the word sequence and the graph structure, a topic corresponding to the text may be determined based on the topic distribution.
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公开(公告)号：US20230088445A1
公开(公告)日：2023-03-23
申请号：US18059386
申请日：2022-11-28
Inventor： Zeming LIU , Hao LIU , Zhengyu Niu , Hua WU , Haifeng WANG , Hui XIONG
Abstract: A conversational recommendation method, a method of training a conversational recommendation model, an electronic device, and a storage medium are provided, which are related to a technical field of data processing, in particular to technical fields of voice interaction, deep learning, artificial intelligence and the like. The conversational recommendation method includes: acquiring a historical conversation information; determining a target conversation object to be generated, from a conversation target graph based on the historical conversation information, the conversation target graph includes an object node, the object node is configured to represent a conversation object, and the target conversation object is determined based on the object node; and generating a target conversation information for recommendation based on the target conversation object.
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公开(公告)号：US20210192378A1
公开(公告)日：2021-06-24
申请号：US17128904
申请日：2020-12-21
Inventor： Xinjiang LU , Renjun HU , Hui XIONG
Abstract: The present application proposes a quantitative analysis method for a user decision-making behavior and an apparatus, which relate to the fields of big data calculation and artificial intelligence in computer technology. At least one quantified decision factor related to making a target decision by a user is inputted into a machine learning model; the machine learning model further analyzes the decision factor; and finally a prediction result of making the target decision by the user is determined according to an output of the machine learning model. Therefore, it is possible to analyze the decision factor for making the target decision by the user to obtain the prediction result of making the target decision, thus enriching analysis needs for the user decision-making behavior.
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公开(公告)号：US20210108931A1
公开(公告)日：2021-04-15
申请号：US16880156
申请日：2020-05-21
Inventor： Hao LIU , Jianguo DUAN , Hui XIONG
Abstract: The present disclosure discloses a method and an apparatus for determining a hybrid travel route, a device and a storage medium, which relates to the field of intelligent transportation. The specific implementation solution is: the method includes: receiving a hybrid travel route obtaining request sent by a user terminal, where the obtaining request includes: starting point information and terminal point information; obtaining, from the cache database, travel information of each road section constituting at least one hybrid travel route, which matches the starting point information and the terminal point information; determining at least one hybrid travel route and hybrid route travel information according to the travel information of each road section; determining an optimal hybrid travel route according to travel information of each hybrid travel route; and sending the optimal hybrid travel route to the user terminal.
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